Scientific Infrastructure for the Agent Era
Building the Scientific Operating Layer for AI-Driven Research
We don't build AI to replace scientists. We offload roughly 90% of repetitive work to agents, so researchers can focus on irreplaceable judgment and creation — always human-in-the-loop, traceable, and auditable.
Accepted at top venues (IJCAI · EMNLP · AAAI), system-assisted and researcher-authored; a 4th under review
Active researchers, organic growth with zero paid acquisition
Full-text paper corpus, continuously updated with full-text and citation indexing
Open-source research-plugins library, plus 34 API tools, MIT License
Philosophy / Why We Exist
When the ability to complete a task becomes a monthly subscription, the binding constraint on research is no longer intellect, but the dilution of intellect by repetitive work — and the verifiable delivery serious results demand. The mainstream path replaces the scientist. We chose the opposite.
Every citation comes from authoritative academic sources, traceable line by line — no fabricated references, no misattribution.
Each research task is decomposed into reproducible steps, every one logged and reviewable. The process itself is transparent.
Every conclusion must pass acceptance criteria, reinforced by self-checks, cross-validation, and expert SOP review.
Product Matrix
Not a chatbot, but an agent workbench for the full research lifecycle. Four products share one research-agent engine and data foundation.
Discovery Agent on the Citation Network
Deep research on the citation network: locate untouched research gaps, predict where the frontier will break next, and generate traceable cross-disciplinary hypotheses — turning topic selection from chance into systematic exploration.
AI Academic Workbench
A human-AI co-creation workbench: from topic to finished manuscript, covering citation management and academic polishing. The author always keeps control — every step switchable, reversible, verifiable.
Local-First AI Research Assistant
A research operating system on your own machine: literature, tasks, radar monitoring, experiment tracking and a progress board — agents as the glue. Periodic tasks run themselves; your data stays local.
Knowledge Base for Agents
A StackOverflow + arXiv for the agent world. Agents ask the network when stuck and contribute SOPs and reputation when they solve — connected via the open SYNAPSE protocol.
FAQ
Zhiway (legal entity: Zhiway (Xiong'an) Technology Co., Ltd.) is an AI for Science company building the scientific infrastructure for the agent era. Our principle is to amplify scientists, not replace them — offloading roughly 90% of repetitive work to agents so researchers can focus on judgment and creation.
Four products share one research-agent engine: Idea Interflowing (a discovery agent on the citation network), ThesisAgent (an AI academic writing workbench), Research-Claw (a local-first AI research assistant), and HashMind (an agent-native research community).
Most AI for Science efforts try to replace the scientist. Zhiway does the opposite — we amplify the scientist, with verifiable delivery (sourced citations, traceable process, audited output) and localized, compliant deployment for institutions.
Email contact@zhiway.com.cn.
Contact
Researchers, institutions, and partners in AI for Science — we'd love to hear from you.